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accurate source of species identification for difficult plant families. You will use cutting-edge genomic and Artificial Intelligence methods from several plant families to identify novel genomic regions and
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calibrating and spatially co-registering these complementary imaging and sensor modalities, enabling spectral properties, elemental distributions, and quantitative morphological characteristics to be studied
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to understand the factors governing pollinator occurrence (habitats, landscape elements, food resources, host plants) and to predict where interventions might be most useful. Then, you will perform and oversee
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modalities, enabling spectral properties, elemental distributions, and quantitative morphological characteristics to be studied within the same specimens. Using seaweed as a case study, you will investigate
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) from the end of 2026 onwards, but these regulations can only succeed if modern species identification and tracing methods can be upscaled, accelerated, and implemented by (non-)academic stakeholders. In
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methods can be upscaled, accelerated, and implemented by (non-)academic stakeholders. In this position, you will engage with both (inter)national academic and non-academic stakeholders in the field